Reinforcement learning based on movement primitives for contact tasks

Volume: 62, Pages: 101863 - 101863
Published: Apr 1, 2020
Abstract
Recently, robot learning through deep reinforcement learning has incorporated various robot tasks through deep neural networks, without using specific control or recognition algorithms. However, this learning method is difficult to apply to the contact tasks of a robot, due to the exertion of excessive force from the random search process of reinforcement learning. Therefore, when applying reinforcement learning to contact tasks, solving the...
Paper Details
Title
Reinforcement learning based on movement primitives for contact tasks
Published Date
Apr 1, 2020
Volume
62
Pages
101863 - 101863
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